<h4>Tool</h4><table border="0"><tr><td valign="top"><b>Name</b></td><td valign="top">Supervised Classification for Tables</td></tr><tr><td valign="top"><b>ID</b></td><td valign="top">5</td></tr><tr><td valign="top"><b>Author</b></td><td valign="top">O.Conrad (c) 2012</td></tr></table><hr><h4>Description</h4>Supervised classification for attribute data. To train the classifier choose an attribute that provides class identifiers for those records, for which the target class is known, and no data for all other records.<hr><h4>Parameters</h4><table border="1" width="100%" valign="top" cellpadding="5" rules="all"><tr><th>Name</th><th>Type</th><th>Identifier</th><th>Description</th><th>Constraints</th></tr>
<tr><th colspan="5">Input</th></tr><tr><td>Table </td><td>Table (input)</td><td>TABLE</td><td></td><td></td></tr><tr><th colspan="5">Output</th></tr><tr><td>Classification</td><td>Table (output)</td><td>CLASSES</td><td></td><td></td></tr><tr><th colspan="5">Options</th></tr><tr><td>Features</td><td>Table fields</td><td>FEATURES</td><td></td><td></td></tr><tr><td>Normalise</td><td>Boolean</td><td>NORMALISE</td><td></td><td>Default: 0</td></tr><tr><td>Training Classes</td><td>Table field</td><td>TRAINING</td><td></td><td></td></tr><tr><td>Load Statistics from File...</td><td>File path</td><td>FILE_LOAD</td><td></td><td></td></tr><tr><td>Save Statistics to File...</td><td>File path</td><td>FILE_SAVE</td><td></td><td></td></tr><tr><td>Method</td><td>Choice</td><td>METHOD</td><td></td><td>Available Choices:
[0] Binary Encoding
[1] Parallelepiped
[2] Minimum Distance
[3] Mahalanobis Distance
[4] Maximum Likelihood
[5] Spectral Angle Mapping
[6] Winner Takes All
Default: 2</td></tr><tr><td>Distance Threshold</td><td>Floating point</td><td>THRESHOLD_DIST</td><td>Let pixel stay unclassified, if minimum euclidian or mahalanobis distance is greater than threshold.</td><td>Minimum: 0.000000
Default: 0.000000</td></tr><tr><td>Spectral Angle Threshold (Degree)</td><td>Floating point</td><td>THRESHOLD_ANGLE</td><td>Let pixel stay unclassified, if spectral angle distance is greater than threshold.</td><td>Minimum: 0.000000
Maximum: 90.000000
Default: 0.000000</td></tr><tr><td>Probability Threshold</td><td>Floating point</td><td>THRESHOLD_PROB</td><td>Let pixel stay unclassified, if maximum likelihood probability value is less than threshold.</td><td>Minimum: 0.000000
Maximum: 100.000000
Default: 0.000000</td></tr><tr><td>Probability Reference</td><td>Choice</td><td>RELATIVE_PROB</td><td></td><td>Available Choices:
[0] absolute
[1] relative
Default: 1</td></tr><tr><td>Binary Encoding</td><td>Boolean</td><td>WTA_0</td><td></td><td>Default: 0</td></tr><tr><td>Parallelepiped</td><td>Boolean</td><td>WTA_1</td><td></td><td>Default: 0</td></tr><tr><td>Minimum Distance</td><td>Boolean</td><td>WTA_2</td><td></td><td>Default: 0</td></tr><tr><td>Mahalanobis Distance</td><td>Boolean</td><td>WTA_3</td><td></td><td>Default: 0</td></tr><tr><td>Maximum Likelihood</td><td>Boolean</td><td>WTA_4</td><td></td><td>Default: 0</td></tr><tr><td>Spectral Angle Mapping</td><td>Boolean</td><td>WTA_5</td><td></td><td>Default: 0</td></tr></table>